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Journal articles · 2021

An mCARE study on patterns of risk and resilience for children with ASD in Bangladesh

Scientific Reports · Volume 11 · Article 21342

Abstract

Community-wide lockdowns in response to COVID-19 influenced many families, but the developmental cascade for children with autism spectrum disorder (ASD) may be especially detrimental. Our objective was to evaluate behavioral patterns of risk and resilience for children with ASD across parent-report assessments before (from November 2019 to February 2020), during (March 2020 to May 2020), and after (June 2020 to November 2020) an extended COVID-19 lockdown. In 2020, our study Mobile-based care for children with ASD using remote experience sampling method (mCARE) was inactive data collection before COVID-19 emerged as a health crisis in Bangladesh. Here we deployed “Cohort Studies”, where we had in total 300 children with ASD (150 test group and 150 control group) to collect behavioral data. Our data collection continued through an extended COVID-19 lockdown and captured parent reports of 30 different behavioral parameters (e.g., self-injurious behaviors, aggression, sleep problems, daily living skills, and communication) across 150 children with ASD (test group). Based on the children’s condition, 4–6 behavioral parameters were assessed through the study. A total of 56,290 behavioral data points was collected (an average of 152.19 per week) from parent cell phones using the mCARE platform. Children and their families were exposed to an extended COVID-19 lockdown. The main outcomes used for this study were generated from parent reports child behaviors within the mCARE platform. Behaviors included of child social skills, communication use, problematic behaviors, sensory sensitivities, daily living, and play. COVID-19 lockdowns for children with autism and their families are not universally negative but supports in the areas of “Problematic Behavior” could serve to mitigate future risk.

Publication details

Category
Journal articles
Authors & affiliations
  1. Masud RabbaniUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI 53233, USA
  2. Munirul M. HaqueR.B. Annis School of Engineering, University of Indianapolis, Indianapolis, IN 46227, USA
  3. Dipranjan Das DipalUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI 53233, USA
  4. Md Ishrak Islam ZarifUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI 53233, USA
  5. Anik IqbalUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI 53233, USA
  6. Amy SchwichtenbergCollege of Health and Human Sciences, Purdue University, West Lafayette, IN, USA
  7. Naveen BansalDepartment of Mathematical and Statistical Sciences, Marquette University, Milwaukee, WI, USA
  8. Tanjir Rashid SoronTelepsychiatry Research and Innovation Network Ltd, Dhaka 1215, Bangladesh
  9. Syed Ishtiaque AhmedDepartment of Computer Science, University of Toronto, Toronto, ON M5S 2E4, Canada
  10. Sheikh Iqbal AhamedUbicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI 53233, USA
Venue
Scientific Reports
Publisher
Springer Nature
Record
Volume 11 · Article 21342
Published
November 1, 2021
Cite this work

Masud Rabbani, Munirul M. Haque, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, Amy Schwichtenberg, Naveen Bansal, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed. “An mCARE study on patterns of risk and resilience for children with ASD in Bangladesh”. Scientific Reports, 11, 21342. (2021). https://doi.org/10.1038/s41598-021-00793-7.

Research topics

  • mCARE
  • autism spectrum disorder
  • longitudinal monitoring
  • mobile health
  • Bangladesh
  • caregiver-reported outcomes